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A diagram that tells how two variables are related?
a diagram that tells how two variables are related
How are visual displays showing how two variables related?
A visual display showing how two variables are related is called a graph.
Why was there a need to invent linear equation in two variables?
If two variables are related, then the simplest relationship between them is a linear one. The linear equation expresses such a relationship.If two variables are related, then the simplest relationship between them is a linear one. The linear equation expresses such a relationship.If two variables are related, then the simplest relationship between them is a linear one. The linear equation expresses such a relationship.If two variables are related, then the simplest relationship between them is a linear one. The linear equation expresses such a relationship.
What is the diagram that shows how two variables are related?
nope
A best line fit may not be very useful between these two variables since the data points on the graph are?
Not linearly related.
What does a line graph related to?
It is related to the two variables that are plotted in the line graph.It is related to the two variables that are plotted in the line graph.It is related to the two variables that are plotted in the line graph.It is related to the two variables that are plotted in the line graph.
A diagram that tells how two variables are related?
a diagram that tells how two variables are related
Which two interface variables will determine the metric that is used on EIGRP?
The bandwidth and delay interface variables are used to determine the metric in EIGRP. These values are used in the calculation of the composite metric that EIGRP uses to determine the best path to a destination.
How are visual displays showing how two variables related?
A visual display showing how two variables are related is called a graph.
When an experiment shows that two variable are closely related that experiment shows?
that there is a correlation between the two variables. However, correlation does not imply causation, so it is important to further investigate to determine the nature of the relationship between the variables.
How are the variables related to each other?
There are infinitely many possible ways in which two variables can be related to one another.
What does it mean for economic variables to positively related?
if two variables are positively related,it means that the two variables change in the same direction.that is,if the value of one of the variables increases,the value of the other variable too will increase.for example,if employment as an economic variable increases in a country,and price of goods too increases then we can say that these two variables(employment and price) are positively related
Why was there a need to invent linear equation in two variables?
If two variables are related, then the simplest relationship between them is a linear one. The linear equation expresses such a relationship.If two variables are related, then the simplest relationship between them is a linear one. The linear equation expresses such a relationship.If two variables are related, then the simplest relationship between them is a linear one. The linear equation expresses such a relationship.If two variables are related, then the simplest relationship between them is a linear one. The linear equation expresses such a relationship.
What is the diagram that shows how two variables are related?
nope
A diagram that tells how two variables are related is called what?
A diagram that shows how two variables are related is called a "scatter plot." It is a visual representation of the relationship between the two variables, often used to identify patterns or trends in the data.
When is a correlation research method used?
A correlation research method is used to examine the relationship between two variables to see if they are related and how they may change together. It helps to determine if there is a pattern or connection between the variables, but it does not imply causation.
A best line fit may not be very useful between these two variables since the data points on the graph are?
Not linearly related.
